An Ethical Framework for Motivating Artificial Intelligence Leadership: A Case of Human versus Technical Dilemmas

Abstract

Artificial intelligence (AI) autonomously and cognitively multiplies combat power. A whole-of-government top-down push for capability may overwhelm the existing institutions and organizational processes for implementation. In addition, AI carries forward our human characteristics into multiple interconnected systems often unintentional consequences. AI development must expand from a software-centric focus on human and machine relationships to a multi-echelon system-of-systems development environment. In order to quickly scale up AI, a new ethical framework and toolset is necessary to develop, field, and operate new capabilities. This paper introduces an ethical framework for motivating leadership and promotes progress by integrating ethical egoism, character values, and rules utilitarianism into individual and organizational visions, processes, and performance objectives. The U.S. military's culture, code, and regulation provide a unique fit for ethical egoism. To enable this ethical framework, leaders need a revolution in the existing tools for personnel, bureaucratic, and organizational process. The vertical and horizontal complexity of implementing artificial intelligence in the Department of Defense necessitates automated and artificially intelligent tools for honesty, transparency, availability, and accountability to achieve short and long-term progress.

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Document Details

Document Type
Technical Report
Publication Date
Jun 09, 2021
Accession Number
AD1208453

Entities

People

  • Richard E. Tuggle

Organizations

  • Naval War College

Tags

Communities of Interest

  • Autonomy
  • Biomedical
  • Cyber
  • Energy and Power Technologies
  • Human Systems
  • Weapons Technologies

DTIC Thesaurus Topics

  • Air Force
  • Artificial Intelligence
  • Behavior And Behavior Mechanisms
  • Cognitive Systems Engineering
  • Commerce
  • Computers
  • Department Of State
  • Digital Engineering
  • Doctrine
  • Employment
  • Governments
  • Military Science
  • Model Based Systems Engineering
  • National Security
  • Personality
  • Personnel Management
  • Systems Engineering
  • United States Special Operations Command
  • War Colleges
  • Warfare

Readers

  • Economics
  • Military History of the United States in the 20th Century.
  • Software Engineering.

Technology Areas

  • AI & ML
  • AI & ML - DoD AI Strategy